2022 15th International Conference on Advanced Computer Theory and Engineering (ICACTE)最新文献

Matrix-based Genetic Algorithm for Mobile Robot Global Path Planning 基于矩阵的移动机器人全局路径规划遗传算法

2022 15th International Conference on Advanced Computer Theory and Engineering (ICACTE) Pub Date : 2022-09-23 DOI: 10.1109/ICACTE55855.2022.9943638

Jiehong Mo, Yongbin Yu, Chen-lei Zhou, Yuanjingyang Zhong, Zipeng Wang

{"title":"Matrix-based Genetic Algorithm for Mobile Robot Global Path Planning","authors":"Jiehong Mo, Yongbin Yu, Chen-lei Zhou, Yuanjingyang Zhong, Zipeng Wang","doi":"10.1109/ICACTE55855.2022.9943638","DOIUrl":"https://doi.org/10.1109/ICACTE55855.2022.9943638","url":null,"abstract":"In this paper, a new variant of genetic algorithm, matrix-based genetic algorithm (MGA), is proposed, which represents the population of genetic algorithm by matrix, and achieves evolution by matrix operation. Applying it to the 2D global path planning problem of robot, MGA has better accuracy and running speed than the basic genetic algorithm. Specifically, the average path length obtained after convergence of MGA is closer to the actual shortest path length than that of the basic genetic algorithm, and, due to the parallelism of the MGA in matrix operations, the MGA runs in 1/2 the time of the traditional genetic algorithm when using the NumPy library. Two experiments comparing shortest path lengths demonstrate that MGA has better stability and can cope with complex environments. In order to enable the algorithm to have better accuracy, this paper also explores the effect of whether to use elite strategy on the accuracy of the shortest path of the algorithm. In addition, the effect of different pathfinding algorithms on the computing time of the algorithm is explored to speed up the operation of the algorithm.","PeriodicalId":165068,"journal":{"name":"2022 15th International Conference on Advanced Computer Theory and Engineering (ICACTE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122490244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation in Development of E-Government: Taking Macao E-Government as An Example 电子政务发展中的评价——以澳门电子政务为例

2022 15th International Conference on Advanced Computer Theory and Engineering (ICACTE) Pub Date : 2022-09-23 DOI: 10.1109/ICACTE55855.2022.9943717

Ngai Cheong, Lue Li, Xi Wang

{"title":"Evaluation in Development of E-Government: Taking Macao E-Government as An Example","authors":"Ngai Cheong, Lue Li, Xi Wang","doi":"10.1109/ICACTE55855.2022.9943717","DOIUrl":"https://doi.org/10.1109/ICACTE55855.2022.9943717","url":null,"abstract":"Since the concept of “e-government” was put forward, many government agencies around the world have been actively promoting the development of e-government. They are also deeply discussing the development law and direction of e-government, and summed up many valuable suggestions. One of them is to evaluate the development status of e-governments, which can be divided into different stages to scientifically assessment the development current status of e-government development. But now no matter what kind of the methods there are relatively shortcoming, can’t accurately describe the development of e-government, as listed in the paper.Based on the development history of science and technology and the most important electronic technology level in e-government as the basis for distinguishing different development stages and levels of e-government. This paper proposes an evaluation method that it is to divide the development of e-government into six stages and five levels, considered the development history of the e-government in the Macao SAR government and the evolution of IT as an example, a brief description of this suggestion can be used to evaluate the development of e-government more effectively.","PeriodicalId":165068,"journal":{"name":"2022 15th International Conference on Advanced Computer Theory and Engineering (ICACTE)","volume":"07 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122651587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ICACTE 2022 Cover Page ICACTE 2022封面

2022 15th International Conference on Advanced Computer Theory and Engineering (ICACTE) Pub Date : 2022-09-23 DOI: 10.1109/icacte55855.2022.9943632

引用次数: 0

Research on the Security System of Dangerous Goods Container Yard Based on Complex Network 基于复杂网络的危险品集装箱堆场安全系统研究

2022 15th International Conference on Advanced Computer Theory and Engineering (ICACTE) Pub Date : 2022-09-23 DOI: 10.1109/ICACTE55855.2022.9943659

D. Cui, Guoqing Sun, Xiaotiao Zhan

引用次数: 0

Design and Implementation of Conformance Test for LISP Mapping Distribution Protocol LISP映射分布协议一致性测试的设计与实现

2022 15th International Conference on Advanced Computer Theory and Engineering (ICACTE) Pub Date : 2022-09-23 DOI: 10.1109/ICACTE55855.2022.9943660

Jiawei Cao, Z. Tang, Feng He, Sudan Li, Tianhang Guo, Yan Gao, Peng Xun

引用次数: 0

Efficient Computation Offloading with Energy Consumption Constraint for Multi-Cloud System 基于能耗约束的多云系统高效计算卸载

2022 15th International Conference on Advanced Computer Theory and Engineering (ICACTE) Pub Date : 2022-09-23 DOI: 10.1109/ICACTE55855.2022.9943608

Xiao Ge, Q. Zhang

引用次数: 0

A Regional Optimization Model of Distribution Network Planning Project Based on Entropy Method 基于熵法的配电网规划方案区域优化模型

2022 15th International Conference on Advanced Computer Theory and Engineering (ICACTE) Pub Date : 2022-09-23 DOI: 10.1109/ICACTE55855.2022.9943601

Pei Li, A. He, Yunlong Zhao, G. Jiang

引用次数: 0

Image Extraction of Thangka Line Drawings with Transformer 基于变压器的唐卡线条图图像提取

2022 15th International Conference on Advanced Computer Theory and Engineering (ICACTE) Pub Date : 2022-09-23 DOI: 10.1109/ICACTE55855.2022.9943668

Fubo Wang, Shenglin Geng, Dan Zhang, Mingquan Zhou, Lujia Li, Wei Nian

{"title":"Image Extraction of Thangka Line Drawings with Transformer","authors":"Fubo Wang, Shenglin Geng, Dan Zhang, Mingquan Zhou, Lujia Li, Wei Nian","doi":"10.1109/ICACTE55855.2022.9943668","DOIUrl":"https://doi.org/10.1109/ICACTE55855.2022.9943668","url":null,"abstract":"In the drawing process of Thangka, the painter can draw different types of Thangka on the same line drawing, but the painter needs to redraw an identical line drawing every time. The drawing and coloring of the line draft are time-consuming and laborious. Therefore, in view of the difficulty in obtaining the real line drawing image data of Thangka and the distortion of the effect of the existing line drawing extraction methods, this paper proposes a Thangka line drawing extraction method based on Transformer: ETLTER. By introducing Vision Transformer, ETLTER captures coarse-grained global context, medium-grained local context, and fine-grained detail context features simultaneously in the three stages. In addition, the feature fusion module (FFM) fuses the feature information extracted from the three stages to predict the final Thangka manuscript effect. Through the processing results of the above three stages, ETLTER can generate clear and concise Thangka line drawings. Based on our own Thangka image dataset TK1500, the Thangka line drawings extracted by the model in this paper have less noise, and clear lines and are close to the line drawings drawn by the real Thangka painter compared with the existing line drawings extraction methods. The average rank of manuscript images extracted by this method is 1.167, ranking first among the 30 methods. The comprehensive evaluation results show that our methods achieve the state-of-art performance in Thangka line drawing extraction, and ETLTER is of great significance to the training of new Thangka painters.","PeriodicalId":165068,"journal":{"name":"2022 15th International Conference on Advanced Computer Theory and Engineering (ICACTE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125379223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Chinese Named Entity Recognition Based on Location Information and Word Frequency 基于位置信息和词频的中文命名实体识别

2022 15th International Conference on Advanced Computer Theory and Engineering (ICACTE) Pub Date : 2022-09-23 DOI: 10.1109/ICACTE55855.2022.9943631

Zhibo Chen, Jun-Shon Huang, Ya Wang

引用次数: 0

Few-Shot Remote Sensing Scene Classification with Multi-Metric Fusion 基于多尺度融合的少拍遥感场景分类

2022 15th International Conference on Advanced Computer Theory and Engineering (ICACTE) Pub Date : 2022-09-23 DOI: 10.1109/ICACTE55855.2022.9943594

Zichen Wang, Jianzhong Qiao

{"title":"Few-Shot Remote Sensing Scene Classification with Multi-Metric Fusion","authors":"Zichen Wang, Jianzhong Qiao","doi":"10.1109/ICACTE55855.2022.9943594","DOIUrl":"https://doi.org/10.1109/ICACTE55855.2022.9943594","url":null,"abstract":"Few-shot remote sensing scene classification is one of the research topics in the field of computer vision and few-shot learning, aiming to classify remote sensing scene through few training samples. The current methods of few-shot remote sensing scene classification use single metric, thus the classification accuracy is affected for the features cannot be effectively extracted. Therefore, we propose multi-metric fusion networks (MMFN) to address the problem via assembling a feature map multi encoder (FMME) and relation attention networks (RAN) to extract the features effectively and improve the classification accuracy. The FMME is designed to further encode the feature map which is extracted in the embedding phase to get different meaningful features. The RAN is aiming to calculate the similarity between features via fusing results of multiple methods based on image attention mechanism. Experimental results on three remote sensing data sets show that the multi-metric fusion method can extract meaningful features and effectively improve the classification performance of few-shot remote sensing scene.","PeriodicalId":165068,"journal":{"name":"2022 15th International Conference on Advanced Computer Theory and Engineering (ICACTE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125726699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0